PNG  IHDR;IDATxܻn0K )(pA 7LeG{ §㻢|ذaÆ 6lذaÆ 6lذaÆ 6lom$^yذag5bÆ 6lذaÆ 6lذa{ 6lذaÆ `}HFkm,mӪôô! x|'ܢ˟;E:9&ᶒ}{v]n&6 h_tڠ͵-ҫZ;Z$.Pkž)!o>}leQfJTu іچ\X=8Rن4`Vwl>nG^is"ms$ui?wbs[m6K4O.4%/bC%t Mז -lG6mrz2s%9s@-k9=)kB5\+͂Zsٲ Rn~GRC wIcIn7jJhۛNCS|j08yiHKֶۛkɈ+;SzL/F*\Ԕ#"5m2[S=gnaPeғL lذaÆ 6l^ḵaÆ 6lذaÆ 6lذa; _ذaÆ 6lذaÆ 6lذaÆ RIENDB` package Paws::SageMaker::UpdateNotebookInstance; use Moose; has AcceleratorTypes => (is => 'ro', isa => 'ArrayRef[Str|Undef]'); has AdditionalCodeRepositories => (is => 'ro', isa => 'ArrayRef[Str|Undef]'); has DefaultCodeRepository => (is => 'ro', isa => 'Str'); has DisassociateAcceleratorTypes => (is => 'ro', isa => 'Bool'); has DisassociateAdditionalCodeRepositories => (is => 'ro', isa => 'Bool'); has DisassociateDefaultCodeRepository => (is => 'ro', isa => 'Bool'); has DisassociateLifecycleConfig => (is => 'ro', isa => 'Bool'); has InstanceType => (is => 'ro', isa => 'Str'); has LifecycleConfigName => (is => 'ro', isa => 'Str'); has NotebookInstanceName => (is => 'ro', isa => 'Str', required => 1); has RoleArn => (is => 'ro', isa => 'Str'); has RootAccess => (is => 'ro', isa => 'Str'); has VolumeSizeInGB => (is => 'ro', isa => 'Int'); use MooseX::ClassAttribute; class_has _api_call => (isa => 'Str', is => 'ro', default => 'UpdateNotebookInstance'); class_has _returns => (isa => 'Str', is => 'ro', default => 'Paws::SageMaker::UpdateNotebookInstanceOutput'); class_has _result_key => (isa => 'Str', is => 'ro'); 1; ### main pod documentation begin ### =head1 NAME Paws::SageMaker::UpdateNotebookInstance - Arguments for method UpdateNotebookInstance on L =head1 DESCRIPTION This class represents the parameters used for calling the method UpdateNotebookInstance on the L service. Use the attributes of this class as arguments to method UpdateNotebookInstance. You shouldn't make instances of this class. Each attribute should be used as a named argument in the call to UpdateNotebookInstance. =head1 SYNOPSIS my $api.sagemaker = Paws->service('SageMaker'); my $UpdateNotebookInstanceOutput = $api . sagemaker->UpdateNotebookInstance( NotebookInstanceName => 'MyNotebookInstanceName', AcceleratorTypes => [ 'ml.eia1.medium', ... # values: ml.eia1.medium, ml.eia1.large, ml.eia1.xlarge, ml.eia2.medium, ml.eia2.large, ml.eia2.xlarge ], # OPTIONAL AdditionalCodeRepositories => [ 'MyCodeRepositoryNameOrUrl', ... # min: 1, max: 1024 ], # OPTIONAL DefaultCodeRepository => 'MyCodeRepositoryNameOrUrl', # OPTIONAL DisassociateAcceleratorTypes => 1, # OPTIONAL DisassociateAdditionalCodeRepositories => 1, # OPTIONAL DisassociateDefaultCodeRepository => 1, # OPTIONAL DisassociateLifecycleConfig => 1, # OPTIONAL InstanceType => 'ml.t2.medium', # OPTIONAL LifecycleConfigName => 'MyNotebookInstanceLifecycleConfigName', # OPTIONAL RoleArn => 'MyRoleArn', # OPTIONAL RootAccess => 'Enabled', # OPTIONAL VolumeSizeInGB => 1, # OPTIONAL ); Values for attributes that are native types (Int, String, Float, etc) can passed as-is (scalar values). Values for complex Types (objects) can be passed as a HashRef. The keys and values of the hashref will be used to instance the underlying object. For the AWS API documentation, see L =head1 ATTRIBUTES =head2 AcceleratorTypes => ArrayRef[Str|Undef] A list of the Elastic Inference (EI) instance types to associate with this notebook instance. Currently only one EI instance type can be associated with a notebook instance. For more information, see Using Elastic Inference in Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/ei.html). =head2 AdditionalCodeRepositories => ArrayRef[Str|Undef] An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html) or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html). =head2 DefaultCodeRepository => Str The Git repository to associate with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit (https://docs.aws.amazon.com/codecommit/latest/userguide/welcome.html) or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with Amazon SageMaker Notebook Instances (https://docs.aws.amazon.com/sagemaker/latest/dg/nbi-git-repo.html). =head2 DisassociateAcceleratorTypes => Bool A list of the Elastic Inference (EI) instance types to remove from this notebook instance. This operation is idempotent. If you specify an accelerator type that is not associated with the notebook instance when you call this method, it does not throw an error. =head2 DisassociateAdditionalCodeRepositories => Bool A list of names or URLs of the default Git repositories to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error. =head2 DisassociateDefaultCodeRepository => Bool The name or URL of the default Git repository to remove from this notebook instance. This operation is idempotent. If you specify a Git repository that is not associated with the notebook instance when you call this method, it does not throw an error. =head2 DisassociateLifecycleConfig => Bool Set to C to remove the notebook instance lifecycle configuration currently associated with the notebook instance. This operation is idempotent. If you specify a lifecycle configuration that is not associated with the notebook instance when you call this method, it does not throw an error. =head2 InstanceType => Str The Amazon ML compute instance type. Valid values are: C<"ml.t2.medium">, C<"ml.t2.large">, C<"ml.t2.xlarge">, C<"ml.t2.2xlarge">, C<"ml.t3.medium">, C<"ml.t3.large">, C<"ml.t3.xlarge">, C<"ml.t3.2xlarge">, C<"ml.m4.xlarge">, C<"ml.m4.2xlarge">, C<"ml.m4.4xlarge">, C<"ml.m4.10xlarge">, C<"ml.m4.16xlarge">, C<"ml.m5.xlarge">, C<"ml.m5.2xlarge">, C<"ml.m5.4xlarge">, C<"ml.m5.12xlarge">, C<"ml.m5.24xlarge">, C<"ml.c4.xlarge">, C<"ml.c4.2xlarge">, C<"ml.c4.4xlarge">, C<"ml.c4.8xlarge">, C<"ml.c5.xlarge">, C<"ml.c5.2xlarge">, C<"ml.c5.4xlarge">, C<"ml.c5.9xlarge">, C<"ml.c5.18xlarge">, C<"ml.c5d.xlarge">, C<"ml.c5d.2xlarge">, C<"ml.c5d.4xlarge">, C<"ml.c5d.9xlarge">, C<"ml.c5d.18xlarge">, C<"ml.p2.xlarge">, C<"ml.p2.8xlarge">, C<"ml.p2.16xlarge">, C<"ml.p3.2xlarge">, C<"ml.p3.8xlarge">, C<"ml.p3.16xlarge"> =head2 LifecycleConfigName => Str The name of a lifecycle configuration to associate with the notebook instance. For information about lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance (https://docs.aws.amazon.com/sagemaker/latest/dg/notebook-lifecycle-config.html). =head2 B NotebookInstanceName => Str The name of the notebook instance to update. =head2 RoleArn => Str The Amazon Resource Name (ARN) of the IAM role that Amazon SageMaker can assume to access the notebook instance. For more information, see Amazon SageMaker Roles (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-roles.html). To be able to pass this role to Amazon SageMaker, the caller of this API must have the C permission. =head2 RootAccess => Str Whether root access is enabled or disabled for users of the notebook instance. The default value is C. If you set this to C, users don't have root access on the notebook instance, but lifecycle configuration scripts still run with root permissions. Valid values are: C<"Enabled">, C<"Disabled"> =head2 VolumeSizeInGB => Int The size, in GB, of the ML storage volume to attach to the notebook instance. The default value is 5 GB. ML storage volumes are encrypted, so Amazon SageMaker can't determine the amount of available free space on the volume. Because of this, you can increase the volume size when you update a notebook instance, but you can't decrease the volume size. If you want to decrease the size of the ML storage volume in use, create a new notebook instance with the desired size. =head1 SEE ALSO This class forms part of L, documenting arguments for method UpdateNotebookInstance in L =head1 BUGS and CONTRIBUTIONS The source code is located here: L Please report bugs to: L =cut